Package: truncAIPW 1.0.1
truncAIPW: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
Doubly robust estimation for the mean of an arbitrarily transformed survival time under covariate-induced dependent left truncation and noninformative right censoring. The functions truncAIPW(), truncAIPW_cen1(), and truncAIPW_cen2() compute the doubly robust estimators under the scenario without censoring and the two censoring scenarios, respectively. The package also contains three simulated data sets 'simu', 'simu_c1', and 'simu_c2', which are used to illustrate the usage of the functions in this package. Reference: Wang, Y., Ying, A., Xu, R. (2022) "Doubly robust estimation under covariate-induced dependent left truncation" <arxiv:2208.06836>.
Authors:
truncAIPW_1.0.1.tar.gz
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truncAIPW.pdf |truncAIPW.html✨
truncAIPW/json (API)
# Install 'truncAIPW' in R: |
install.packages('truncAIPW', repos = c('https://wangyuyao98.r-universe.dev', 'https://cloud.r-project.org')) |
- simu - A Simulated Data Set under Left Truncation but No Right Censoring
- simu_c1 - A Simulated Data Set under Left Truncation and Right Censoring where Censoring can be before Truncation
- simu_c2 - A Simulated Data Set under Left Truncation and Right Censoring where Censoring is always after Truncation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:f782101512. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | OK | Oct 29 2024 |
R-4.5-linux | OK | Oct 29 2024 |
R-4.4-win | OK | Oct 29 2024 |
R-4.4-mac | OK | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
Exports:F_estG_esttruncAIPWtruncAIPW_cen1truncAIPW_cen2
Dependencies:latticeMatrixRcppRcppEigenstatmodsurvivalsurvPen